skills/phase-finance/SKILL.md
Phase guidance for the neuroflow /finance command. Loaded automatically when /finance is invoked to orient agent behavior, relevant skills, and workflow hints for grant document management and expense tracking.
npx skillsauth add stanislavjiricek/neuroflow phase-financeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The finance phase covers everything related to the financial management of a research project — from building the initial budget through grant compliance to funder-facing financial reports.
.neuroflow/grant-proposal/flow.md first if it exists — funder, scheme, and approved budget figures should already be there.neuroflow/finance/; never place financial documents outside this folder without explicit user requestneuroflow:neuroflow-core — read first; defines the command lifecycle and .neuroflow/ write rulesbudget-[funder]-[date].md — the budget plan; reference this in every subsequent expense log and reportexpenses-[year].md — running expense log; one file per calendar yearfinancial-report-[funder]-[date].md — formal funder-facing reportcompliance-check-[date].md — internal compliance checklisttesting
This skill should be used whenever the user mentions BIDS, Brain Imaging Data Structure, BIDS conversion, BIDS validation, BIDS compliance, organizing neuroimaging data, dataset_description.json, participants.tsv, bids-validator, pybids, MNE-BIDS, or asks how to structure EEG/MEG/fMRI/iEEG/PET/DWI data for sharing or preprocessing. Also invoke when the user asks how to name scan files, what sidecar JSON fields are needed, how to set up derivatives/, or how to run fMRIPrep/MRIQC on their dataset. Invoke proactively during /data, /data-preprocess, and /data-analyze phases whenever the dataset structure is relevant to the task at hand.
tools
Phase guidance for the /meeting command. Covers meeting file structure, recurring templates, attendee resolution from profiles, Google Calendar MCP integration, agenda preparation with project context, and action-item-to-task conversion at all three levels (project, flowie, hive).
data-ai
Worker-critic agentic loop protocol — orchestrator coordinates a worker agent and a critic agent across up to 3 revision cycles to produce a vetted output for any phase.
development
Knowledge base skill — Karpathy-style LLM-maintained wiki at three levels (personal/flowie, project, team/hive). Handles ingest, query, lint, schema, and project-tagging workflows. Invoked by /flowie --wiki-* (personal), /wiki (project), /hive --wiki-* (team).